Metal device set to: Apple M1 Pro
systemMemory: 16.00 GB
maxCacheSize: 5.33 GB
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 256) 3328
leaky_re_lu (LeakyReLU) (None, 256) 0
dense_1 (Dense) (None, 256) 65792
leaky_re_lu_1 (LeakyReLU) (None, 256) 0
dense_2 (Dense) (None, 256) 65792
leaky_re_lu_2 (LeakyReLU) (None, 256) 0
dense_3 (Dense) (None, 256) 65792
leaky_re_lu_3 (LeakyReLU) (None, 256) 0
dense_4 (Dense) (None, 256) 65792
leaky_re_lu_4 (LeakyReLU) (None, 256) 0
dense_5 (Dense) (None, 3) 771
=================================================================
Total params: 267,267
Trainable params: 267,267
Non-trainable params: 0
_________________________________________________________________
Epoch 1/100
459/459 [==============================] - 19s 39ms/step - loss: 0.0065 - val_loss: 2.3933e-04
Epoch 2/100
459/459 [==============================] - 17s 38ms/step - loss: 2.1508e-04 - val_loss: 1.2952e-04
Epoch 3/100
459/459 [==============================] - 17s 38ms/step - loss: 1.5088e-04 - val_loss: 4.7396e-04
Epoch 4/100
459/459 [==============================] - 17s 37ms/step - loss: 1.4415e-04 - val_loss: 8.8372e-05
Epoch 5/100
459/459 [==============================] - 17s 37ms/step - loss: 1.2663e-04 - val_loss: 7.7546e-05
Epoch 6/100
459/459 [==============================] - 17s 37ms/step - loss: 1.1726e-04 - val_loss: 3.9939e-04
Epoch 7/100
459/459 [==============================] - 17s 37ms/step - loss: 1.0719e-04 - val_loss: 2.9736e-04
Epoch 8/100
459/459 [==============================] - 17s 37ms/step - loss: 9.6851e-05 - val_loss: 4.9412e-05
Epoch 9/100
459/459 [==============================] - 17s 37ms/step - loss: 9.6222e-05 - val_loss: 1.2518e-04
Epoch 10/100
459/459 [==============================] - 17s 37ms/step - loss: 8.8397e-05 - val_loss: 5.4822e-05
Epoch 11/100
459/459 [==============================] - 17s 37ms/step - loss: 8.1879e-05 - val_loss: 5.2642e-05
Epoch 12/100
459/459 [==============================] - 17s 37ms/step - loss: 8.0886e-05 - val_loss: 4.1507e-05
Epoch 13/100
459/459 [==============================] - 17s 37ms/step - loss: 7.3210e-05 - val_loss: 5.6658e-05
Epoch 14/100
459/459 [==============================] - 17s 37ms/step - loss: 6.9395e-05 - val_loss: 1.0389e-04
Epoch 15/100
459/459 [==============================] - 17s 37ms/step - loss: 6.8788e-05 - val_loss: 3.8324e-05
Epoch 16/100
459/459 [==============================] - 17s 37ms/step - loss: 6.2494e-05 - val_loss: 3.6982e-05
Epoch 17/100
459/459 [==============================] - 17s 37ms/step - loss: 6.2144e-05 - val_loss: 8.8460e-05
Epoch 18/100
459/459 [==============================] - 17s 37ms/step - loss: 5.6566e-05 - val_loss: 1.5696e-04
Epoch 19/100
459/459 [==============================] - 17s 37ms/step - loss: 5.4330e-05 - val_loss: 3.1707e-04
Epoch 20/100
459/459 [==============================] - 17s 37ms/step - loss: 5.3039e-05 - val_loss: 8.3380e-05
Epoch 21/100
459/459 [==============================] - 17s 37ms/step - loss: 5.0385e-05 - val_loss: 5.2483e-05
Epoch 22/100
459/459 [==============================] - 17s 37ms/step - loss: 4.8897e-05 - val_loss: 1.4480e-04
Epoch 23/100
459/459 [==============================] - 17s 37ms/step - loss: 4.7880e-05 - val_loss: 5.4595e-05
Epoch 24/100
459/459 [==============================] - 17s 37ms/step - loss: 4.5300e-05 - val_loss: 5.1525e-05
Epoch 25/100
459/459 [==============================] - 17s 37ms/step - loss: 4.3454e-05 - val_loss: 1.5018e-04
Epoch 26/100
459/459 [==============================] - 17s 37ms/step - loss: 3.9921e-05 - val_loss: 6.7408e-05
Epoch 27/100
459/459 [==============================] - 17s 38ms/step - loss: 4.1407e-05 - val_loss: 2.3157e-05
Epoch 28/100
459/459 [==============================] - 17s 38ms/step - loss: 3.8681e-05 - val_loss: 2.7831e-05
Epoch 29/100
459/459 [==============================] - 17s 37ms/step - loss: 3.8090e-05 - val_loss: 3.6708e-05
Epoch 30/100
459/459 [==============================] - 17s 38ms/step - loss: 3.8365e-05 - val_loss: 3.5930e-05
Epoch 31/100
459/459 [==============================] - 17s 38ms/step - loss: 3.5000e-05 - val_loss: 2.5402e-05
Epoch 32/100
459/459 [==============================] - 17s 37ms/step - loss: 3.3936e-05 - val_loss: 7.3974e-05
Epoch 33/100
459/459 [==============================] - 17s 37ms/step - loss: 3.4537e-05 - val_loss: 5.2942e-05
Epoch 34/100
459/459 [==============================] - 17s 38ms/step - loss: 3.2747e-05 - val_loss: 3.4904e-05
Epoch 35/100
459/459 [==============================] - 17s 38ms/step - loss: 3.0611e-05 - val_loss: 7.0845e-05
Epoch 36/100
459/459 [==============================] - 17s 37ms/step - loss: 3.1225e-05 - val_loss: 2.8233e-05
Epoch 37/100
459/459 [==============================] - 17s 37ms/step - loss: 3.0642e-05 - val_loss: 5.9285e-05
Epoch 38/100
459/459 [==============================] - 18s 38ms/step - loss: 3.0918e-05 - val_loss: 2.4387e-05
Epoch 39/100
459/459 [==============================] - 17s 38ms/step - loss: 2.6794e-05 - val_loss: 5.6879e-05
Epoch 40/100
459/459 [==============================] - 18s 38ms/step - loss: 2.6904e-05 - val_loss: 2.2034e-05
Epoch 41/100
459/459 [==============================] - 18s 39ms/step - loss: 2.8363e-05 - val_loss: 1.9228e-05
Epoch 42/100
459/459 [==============================] - 17s 37ms/step - loss: 2.5935e-05 - val_loss: 1.8365e-05
Epoch 43/100
459/459 [==============================] - 17s 37ms/step - loss: 2.5601e-05 - val_loss: 2.0320e-05
Epoch 44/100
459/459 [==============================] - 17s 38ms/step - loss: 2.4581e-05 - val_loss: 1.6876e-05
Epoch 45/100
459/459 [==============================] - 17s 37ms/step - loss: 2.4224e-05 - val_loss: 3.2437e-05
Epoch 46/100
459/459 [==============================] - 17s 37ms/step - loss: 2.4344e-05 - val_loss: 3.2575e-05
Epoch 47/100
459/459 [==============================] - 17s 37ms/step - loss: 2.3265e-05 - val_loss: 1.8261e-05
Epoch 48/100
459/459 [==============================] - 17s 37ms/step - loss: 2.3004e-05 - val_loss: 7.4272e-05
Epoch 49/100
459/459 [==============================] - 17s 37ms/step - loss: 2.1939e-05 - val_loss: 4.5706e-05
Epoch 50/100
459/459 [==============================] - 17s 37ms/step - loss: 2.2234e-05 - val_loss: 8.5515e-05
Epoch 51/100
459/459 [==============================] - 17s 37ms/step - loss: 2.2141e-05 - val_loss: 1.8728e-05
Epoch 52/100
459/459 [==============================] - 18s 38ms/step - loss: 2.0612e-05 - val_loss: 1.8351e-05
Epoch 53/100
459/459 [==============================] - 17s 38ms/step - loss: 2.0568e-05 - val_loss: 9.5710e-05
Epoch 54/100
459/459 [==============================] - 18s 39ms/step - loss: 2.1903e-05 - val_loss: 4.5377e-05
Epoch 55/100
459/459 [==============================] - 18s 39ms/step - loss: 1.8237e-05 - val_loss: 1.7892e-05
Epoch 56/100
459/459 [==============================] - 17s 38ms/step - loss: 2.0009e-05 - val_loss: 1.7274e-05
Epoch 57/100
459/459 [==============================] - 18s 38ms/step - loss: 1.9111e-05 - val_loss: 1.5208e-05
Epoch 58/100
459/459 [==============================] - 17s 38ms/step - loss: 1.9308e-05 - val_loss: 2.3892e-05
Epoch 59/100
459/459 [==============================] - 17s 38ms/step - loss: 1.7526e-05 - val_loss: 3.0991e-05
Epoch 60/100
459/459 [==============================] - 17s 38ms/step - loss: 1.8785e-05 - val_loss: 1.2934e-05
Epoch 61/100
459/459 [==============================] - 17s 38ms/step - loss: 1.7114e-05 - val_loss: 1.3040e-05
Epoch 62/100
459/459 [==============================] - 17s 38ms/step - loss: 1.8372e-05 - val_loss: 1.7121e-05
Epoch 63/100
459/459 [==============================] - 17s 37ms/step - loss: 1.8002e-05 - val_loss: 2.1928e-05
Epoch 64/100
459/459 [==============================] - 17s 37ms/step - loss: 1.6018e-05 - val_loss: 1.4474e-05
Epoch 65/100
459/459 [==============================] - 17s 37ms/step - loss: 1.6718e-05 - val_loss: 2.2557e-05
Epoch 66/100
459/459 [==============================] - 17s 37ms/step - loss: 1.6536e-05 - val_loss: 1.5127e-05
Epoch 67/100
459/459 [==============================] - 17s 37ms/step - loss: 1.6468e-05 - val_loss: 3.3876e-05
Epoch 68/100
459/459 [==============================] - 17s 37ms/step - loss: 1.5820e-05 - val_loss: 1.4745e-05
Epoch 69/100
459/459 [==============================] - 17s 37ms/step - loss: 1.5388e-05 - val_loss: 1.6929e-05
Epoch 70/100
459/459 [==============================] - 17s 37ms/step - loss: 1.5672e-05 - val_loss: 1.3091e-05
Epoch 71/100
459/459 [==============================] - 17s 37ms/step - loss: 1.5435e-05 - val_loss: 3.4419e-05
Epoch 72/100
459/459 [==============================] - 17s 37ms/step - loss: 1.4883e-05 - val_loss: 1.5086e-05
Epoch 73/100
459/459 [==============================] - 17s 37ms/step - loss: 1.5241e-05 - val_loss: 1.3874e-05
Epoch 74/100
459/459 [==============================] - 178s 388ms/step - loss: 1.4886e-05 - val_loss: 1.2446e-05
Epoch 75/100
459/459 [==============================] - 17s 38ms/step - loss: 1.4118e-05 - val_loss: 1.2806e-05
Epoch 76/100
459/459 [==============================] - 17s 38ms/step - loss: 1.4447e-05 - val_loss: 1.5676e-05
Epoch 77/100
459/459 [==============================] - 17s 37ms/step - loss: 1.3738e-05 - val_loss: 1.5677e-05
Epoch 78/100
459/459 [==============================] - 17s 37ms/step - loss: 1.4484e-05 - val_loss: 1.3360e-05
Epoch 79/100
459/459 [==============================] - 17s 37ms/step - loss: 1.2965e-05 - val_loss: 3.9755e-05
Epoch 80/100
459/459 [==============================] - 17s 37ms/step - loss: 1.3671e-05 - val_loss: 1.7337e-05
Epoch 81/100
459/459 [==============================] - 17s 38ms/step - loss: 1.3768e-05 - val_loss: 1.2291e-05
Epoch 82/100
459/459 [==============================] - 17s 38ms/step - loss: 1.3414e-05 - val_loss: 1.4601e-05
Epoch 83/100
459/459 [==============================] - 17s 38ms/step - loss: 1.2840e-05 - val_loss: 1.2134e-05
Epoch 84/100
459/459 [==============================] - 17s 38ms/step - loss: 1.2685e-05 - val_loss: 1.1668e-05
Epoch 85/100
459/459 [==============================] - 17s 38ms/step - loss: 1.2562e-05 - val_loss: 3.7836e-05
Epoch 86/100
459/459 [==============================] - 17s 38ms/step - loss: 1.2963e-05 - val_loss: 2.6492e-05
Epoch 87/100
459/459 [==============================] - 17s 38ms/step - loss: 1.3095e-05 - val_loss: 2.5658e-05
Epoch 88/100
459/459 [==============================] - 17s 38ms/step - loss: 1.1757e-05 - val_loss: 1.1484e-05
Epoch 89/100
459/459 [==============================] - 17s 38ms/step - loss: 1.2109e-05 - val_loss: 1.5168e-05
Epoch 90/100
459/459 [==============================] - 17s 38ms/step - loss: 1.2602e-05 - val_loss: 1.4846e-05
Epoch 91/100
459/459 [==============================] - 17s 38ms/step - loss: 1.1442e-05 - val_loss: 1.9128e-05
Epoch 92/100
459/459 [==============================] - 912s 2s/step - loss: 1.1339e-05 - val_loss: 1.2121e-05
Epoch 93/100
459/459 [==============================] - 17s 38ms/step - loss: 1.2034e-05 - val_loss: 2.3578e-05
Epoch 94/100
459/459 [==============================] - 17s 38ms/step - loss: 1.1260e-05 - val_loss: 2.6563e-05
Epoch 95/100
459/459 [==============================] - 17s 38ms/step - loss: 1.2027e-05 - val_loss: 1.1131e-05
Epoch 96/100
459/459 [==============================] - 17s 38ms/step - loss: 1.1028e-05 - val_loss: 1.1175e-05
Epoch 97/100
459/459 [==============================] - 17s 38ms/step - loss: 1.1167e-05 - val_loss: 1.1884e-05
Epoch 98/100
459/459 [==============================] - 17s 38ms/step - loss: 1.1407e-05 - val_loss: 1.6705e-05
Epoch 99/100
459/459 [==============================] - 17s 38ms/step - loss: 1.0330e-05 - val_loss: 1.2747e-05
Epoch 100/100
459/459 [==============================] - 17s 38ms/step - loss: 1.1878e-05 - val_loss: 1.2171e-05
52/52 [==============================] - 1s 14ms/step - loss: 1.1131e-05
INFO:tensorflow:Assets written to: ../models/best_uv_xyz_model/assets
Validation mse: 1.1130633538414259e-05